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Internship in Machine Learning & Analytics - 2000CHF

MACHINE LEARNING INTERNSHIP / THESIS 100%, 3-6 MONTHSFELFEL Zürich Office Start: As soon as possibleFELFEL changes the way we eat at work by offering great fresh food 24x7 at very reasonable prices, steps away from your desk. We place intelligent fridges in offices (‘the FELFEL’) and stock them with fresh meals from local chefs. Employees can grab an innovative salad, warming soup, or tasty menu and get charged directly to their credit card. We operate FELFEL fridges all across Switzerland and are expanding every week. FELFEL is also a food tech company and is currently a team of 22 in Zurich Binz (and soon Geneva area), backed by a group of Zurich, London, and Boston-based investors. See more at www.felfel.ch or via Social Media. YOUR INTERNSHIP:

Our ambition is to stock our fridges with fresh food, so that anyone can grab whatever he desires from the FELFEL anytime. We want to keep our customers happy and minimize the number of times a meal or snack is sold out, at the same time we are committed to keeping food waste as low as possible. Finding the right stocking level for each meal and location is a perfect problem for a machine learning application.

In your internship or for your thesis you will develop your own machine learning model to optimally stock our client’s fridges. You will train your model on a real data set. You will evaluate your model by back testing it, and compare your test score against the score of our existing model. If your model helps us improve the overall stocking accuracy, it will go live! If you succeed you will therefore help us improve the service to our clients and reduce the amount of food waste in the world. YOUR GOALS:FEATURE ENGINEERING AND SELECTION:
  • Select features from our set of existing features to feed your model and get started.
  • Come up with your own features, we have lots of data.
  • Evaluate existing and new features, potentially automate feature selection.
MODEL DEVELOPMENT AND EVALUATION
  • Build a model with existing Python libraries (scikit-learn, Keras or TensorFlow)
  • Use a simple linear regression model to get started and to see if it works. Then build a FFNN or a RNN or try something else, check if you can improve the accuracy.
  • Train your model and tune it on the cross-validation set. Plot your training and cross-validation errors to understand the performance of your model.
  • When your model is completely done we will evaluate it with our test set.
WHO YOU ARE:
  • You have a Bachelor or Master’s degree in Computational Science, Physics, Computer Science or similar.
  • Experience with Machine Learning and Python
  • Excellent analytical and problem solving skills
  • Attitude: ‘The Answer is Yes’
  • You are a team player
  • Authentic Love & Passion for good food (and FELFEL food ;))
  • You never smell like cigarettes and don’t smoke during the day: FELFEL is about healthy living.
WHAT WE OFFER:
  • A challenging machine learning problem, lots of data and the opportunity to develop, train and test your own model in a real-life setting
  • It is possible to do this as part of your studies or as an internship
  • International Start-up team culture
  • Great office in Zürich Binz
  • Food, lot’s and lot’s of the best food
Interested? Then please send us your CV and describe why you are the person who should take on this internship (max ½ page). Please make sure to mention ‘Internship Machine learning’ in the subject line.Application can be in German or English.Contact: hr@felfel.ch

Preis:2000CHF
Telefon:0435442869
Publizierungsdatum: 08.08.2017 11:09:56
Name des Ansprechpartners: Kimberley Dunkel
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